JP2008527787A - Texture coordinate encoding and decoding method of 3D mesh information for effective texture mapping - Google Patents

Abstract

  The present invention relates to texture coordinate encoding / decoding of 3D mesh information, and more specifically, encoding / decoding capable of lossless restoration of texture coordinates in 3D mesh information for effective texture mapping. Concerning conversion. A method for encoding texture coordinates in 3D mesh information according to the present invention comprises: setting an adaptive quantization step size for quantization of the texture coordinates; and using the adaptive quantization step size. Quantizing the texture coordinates; and encoding the quantized texture coordinates. In the present invention, the adaptive quantization step size is set as an inverse value of the texture image size or is set using the texture coordinates.

Description

  The present invention relates to encoding / decoding of three-dimensional mesh information, and more particularly to an encoding / decoding method capable of lossless restoration of texture coordinates for effective texture mapping.

  The three-dimensional graphics field has recently been widely used, but the amount of information is enormous, so the range of use is limited. The three-dimensional model expressed by mesh information includes geometric information, connection information, and information including attribute information having normals, hues, and texture coordinates. The geometric information is composed of three pieces of coordinate information expressed in floating point, and the connection information is expressed as an index list in which three or more pieces of geometric information form one polygon. For example, assuming that geometric information is expressed in 32-bit floating point, 96 bits (12B) are required to express one piece of geometric information. That is, if the three-dimensional model is expressed by 10,000 vertices having only geometric information, 120 KB is required, and if it is expressed by 100,000 vertices, 1.2 MB of memory is required. In addition, since the connection information allows two or more times of duplication, a very large amount of memory is required to store a three-dimensional model using a polygon mesh.

  Therefore, since information is enormous in this way, the necessity for encoding has risen. For this purpose, three-dimensional mesh coding (3DMC: adopted as a standard proposal of ISO / IEC (International Organization for Standardization / International Electrotechnical Commission) in the field of MPEG-4 (Moving Picture Expert Group) -SNHC (Synthetic and Natural Hybrid Coding). The 3D Mesh Coding (Coding) method improves transfer efficiency by encoding / decoding 3D mesh information expressed by Indexed FaceSet (IFS) in a VRML (Virtual Reality Modeling Language: VRML) file.

  FIG. 1 is a diagram illustrating a typical 3DMC coding concept. As illustrated, the IFS data in the VRML file is converted to a 3DMC bitstream through a quantization and encoding process. Such a 3DMC bitstream is recovered through an inverse quantization and decoding process.

  The widespread use of texture mapping in 3D model games and other interactive graphic media has further increased the need for lossless compression of IFS texture coordinates. However, according to the conventional 3DMC method, the texture coordinates are loss-compressed by encoding through a quantization process.

  FIG. 2 conceptually shows a texture mapping error after encoding and decoding by the conventional 3DMC method. In the figure, the integer coordinates (400, 800) of the original texture image are converted into real coordinate values between 0 and 1 in the VRML file, and after the 3DMC encoding and decoding process, different alignment is performed at the time of rendering. A case where a texture mapping error occurs due to restoration to numerical texture coordinates (401, 801) is shown.

  As described above, according to the conventional 3DMC method, the texture coordinate integer value of the original texture image is mapped to a real value and quantized, so that the original coordinate integer value is not restored in the restoration process. is there.

  Accordingly, an object of the present invention is to provide a method for encoding / decoding texture coordinates capable of lossless restoration of texture coordinates for accurate texture mapping.

  Another object of the present invention is to provide a method for efficiently encoding / decoding texture coordinates by adaptively adjusting a quantization step size (delta value) used for quantization of texture coordinates. It is in.

  In order to achieve the above object, according to a first aspect of the present invention, a method for encoding texture coordinates in three-dimensional mesh information is provided. The method includes: setting an adaptive quantization step size used to quantize the texture coordinates; quantizing the texture coordinates using the adaptive quantization step size; and Encoding texture coordinates.

  In the present invention, the adaptive quantization step size may be set as an inverse value of the texture image size, or may be set using the texture coordinates.

  In one embodiment, setting the adaptive quantization step size comprises determining whether the texture image size information exists, and if the texture image size information exists, Setting an inverse value of the texture image size to a first quantization step size; setting a second quantization step size using the texture coordinates; and the second quantization step size being the first quantization step size. A step of determining whether or not the step size is a multiple of the step size; and if the determination result is that the second quantization step size is a multiple of the first quantization step size, the second quantization step size To the adaptive quantization step size, and the determination result is that the second quantization step size is If serial not a multiple of the first quantization step size includes the steps of setting the first quantization step size to the adaptive quantization step size.

  According to the second aspect of the present invention, the first encoding step of encoding the texture coordinates in the three-dimensional mesh information by the above-described encoding method of the texture coordinates in the three-dimensional mesh information, and the residual of the three-dimensional mesh information A second encoding step for encoding information, and a three-dimensional mesh encoding including the three-dimensional mesh information and adaptive quantization step size information encoded as the execution results of the first and second encoding steps ( Generating a 3DMC) packet, a method of encoding 3D mesh information is provided.

  According to the third aspect of the present invention, the step of extracting adaptive quantization step size information from the 3DMC packet and the inverse quantization of the texture coordinates in the 3DMC packet using the extracted adaptive quantization step size And a method for decoding texture coordinates of a 3DMC packet, comprising: decoding the dequantized texture coordinates.

  According to a fourth aspect of the present invention, a first decoding step of decoding texture coordinates in a 3DMC packet by the method described above, a second decoding step of decoding residual information in the 3DMC packet, Restoring a 3D model based on the 3D mesh information decoded as a result of executing the first and second decoding steps, a 3DMC decoding method is provided.

  As described above, the method for encoding / decoding 3D mesh information for effective texture mapping according to the present invention includes adaptively adjusting a quantization step size in a texture coordinate quantization process. The decoding process allows lossless restoration of texture coordinates, thereby ensuring the accuracy of texture mapping.

  The present invention will now be described in detail with reference to the embodiments illustrated in the accompanying drawings. However, the following detailed description is provided for illustrative purposes only and should not be construed to limit the concepts of the present invention to any particular physical configuration.

  FIG. 3 is a flowchart illustrating a 3DMC encoding process applied with texture coordinate quantization according to a preferred embodiment of the present invention. As shown, in step 310, the number of texture coordinate encoding bits (bit per texture coordinate: bpt) is set. It is obvious to those skilled in the art that the step of setting the number of encoded bits is not newly proposed in the present invention and is a part of the normal 3DMC encoding process. Normally, bpt is arbitrarily set by the user regardless of the image size.

  In step 320, an adaptive quantization step size is set according to the scheme proposed in the present invention. In this specification, the adaptive quantization step size is expressed by “delta” for convenience. The delta value is composed of “delta_u” used for quantizing the u-axis direction coordinate value of the texture coordinates (u, v) and “delta_v” used for quantizing the coordinate value in the v-axis direction. Therefore, the delta value to be described later may be understood to include all of “delta_u” and “delta_v”.

Next, the bpt value is compared with the number of bits of the delta value (step 330). If the bpt value is small, the texture coordinates are quantized using the existing quantization step size 2- ^bpt , as in the conventional 3DMC process (step 340). On the other hand, if the number of bits of the delta value is smaller than or equal to the bpt value, the texture coordinates are quantized using the delta value (step 350). The process for determining the delta value according to the present invention will be described later with reference to FIG.

  In step 360, the three-dimensional mesh information including the quantized texture coordinates is encoded. In step 370, a three-dimensional mesh encoded (hereinafter, 3DMC) packet including the delta value information is generated and transmitted.

  FIG. 4 is a flowchart illustrating a process of calculating an adaptive quantization step size (delta) for texture coordinate quantization according to an exemplary embodiment of the present invention.

  First, in step 410, it is determined whether or not size information Image_size of the texture image exists. If the texture image size information exists, the first adaptive quantization step sizes delta1_u and delta1_v are calculated as the reciprocal of the image size (step 420). For example, when the image size is a * b, delta1_u = 1 / a and delta1_v = 1 / b. As an alternative embodiment, delta1_u = 1 / (a-1) and delta1_v = 1 / (b-1).

  Next, in step 430, the second adaptive quantization step sizes delta2_u and delta2_v are estimated using the texture coordinates. In one embodiment, the second adaptive quantization step size arranges the texture coordinate values in ascending order, calculates the difference value between each coordinate value, and then sets the mode of these difference values, the greatest common commitment. It can be set as one of a number (Great Common Divisor: GCD), a median, an average, an minimum, and a maximum.

  Step 440 determines whether the delta2 value is a multiple of delta1, and if so, sets the delta2 value to the adaptive quantization step size delta, otherwise, delta1. Set the value to the adaptive quantization step size delta.

  On the other hand, if it is determined in step 410 that the texture image size information does not exist, an adaptive quantization step size (delta) is set using the texture coordinates in step 470. The method of estimating the adaptive quantization step size (delta) in step 470 is the same as the method of estimating the second adaptive quantization step size delta2 in step 430. The adaptive quantization step size (delta value) can be set in various other ways.

  For example, when the texture image size is 800 * 400, the adaptive quantization step sizes delta_u and delta_v obtained by the present invention have values close to divisors of 800 and 400 for approximately u and v axes, respectively. When decoding texture coordinates, it is possible to restore almost lossless.

In one embodiment, filtering is performed on the texture real coordinate values in the VRML file to calculate the optimal adaptive quantization step size. Specifically, a real number texture coordinate is multiplied by the texture image size, and the value is converted into an integer by performing any one of rounding up, rounding down, and rounding, and the above integer value is further converted into a texture image. By dividing by the size, the correction value of the real texture coordinate can be obtained. Table 1 shows the result of correcting the real number texture coordinate value when the texture image size is 800 * 400.

  FIG. 5 is a flowchart illustrating a 3DMC decoding process according to an embodiment of the present invention. As shown in the figure, it is determined whether or not adaptive quantization step size (delta) information is included in the 3DMC packet received in step 510 (step 520). The determination in step 520 can be performed using a flag value indicating whether or not delta information located in the header of the 3DMC packet exists.

  If it is determined that the delta information is not included, the texture coordinates are inversely quantized using the selected quantization step size as in the existing 3DMC decoding process (step 530). On the other hand, if delta information is included, delta information is extracted from the selected region of the 3DMC packet (step 540), and the texture coordinates are dequantized using the extracted delta information (step 540). 550). At step 560, the dequantized texture coordinates are decoded. Next, in step 570, the residual information in the 3DMC packet is decoded, and in step 580, the 3D model is restored based on the decoded 3D mesh information generated as a result of steps 560 and 570.

FIGS. 6a to 6d show results when the texture coordinates are quantized by the conventional 3DMC method and when the quantization is performed using the adaptive quantization step size proposed in the present invention. The following four models provided on the homepage of MPEG-4 (Moving Picture Expert Group) -SNHC (Synthetic and Natural Hybrid Coding) were selected.

The first method (Method 1) is a case where texture coordinates are quantized using 2- ^bpt as a quantization step size by the existing 3DMC method, and the second method (Method 2) is proposed in the present invention. The texture coordinate is quantized using the first adaptive quantization step size delta1 (that is, the reciprocal value of the image size), and the third method (Method 3) is the second adaptive quantization step size delta2 It is a case where it quantized using.

  FIG. 6a shows the result when the original VRML (IFS) file of each test model is encoded by the three methods described above. As shown in the figure, when the second method is used, a high compression rate of about 10% is shown while showing lossless compression results in all test models. Further, it can be seen that when the third method is used for the earth model, about 40% of the bits are saved in the lossless compression.

  FIG. 6b shows the results when encoding is performed on the corrected VRML (IFS) file of each test model by the three methods described above. As shown in the figure, it shows lossless compression results with no error / difference values between the original file and the restored file in the second and third methods, and it can be seen that the compression ratio is higher by about 10-40%. .

  FIG. 6c shows a case where delta1 is set as a final delta value as a delta information calculation result of the present invention shown in FIG. 4 for the VRML (IFS) file of each test model (Method 2) and delta2 is final. An encoding execution result when set with a delta value (Method 3) and an execution result when encoding with the existing 3DMC method with the same number of encoding bits as the delta value described above (Method 1) are shown. As shown in the figure, in all the test models, the method proposed in the present invention shows a higher compression ratio and a lower error value than the conventional method.

  FIG. 6d shows a case where delta1 is set as a final delta value as a delta information calculation result of the present invention shown in FIG. 4 for the VRML (IFS) file of each test model (Method 2), and delta2 is final. The encoding execution result when set with the delta value (Method 3) and the execution result when encoding with the existing 3DMC method with the maximum number of encoding bits set to 16 bits (Method 1) are shown. Show. As shown in the figure, the method proposed in the present invention shows a high compression ratio of 40 to 65% and a low error value in all models compared to the conventional method. In addition, when the conventional method is used, it is understood that lossless compression cannot be performed even if the maximum coded bit is used.

  FIG. 7a shows a rendering result after performing conventional 3DMC encoding / decoding, and FIG. 7b shows the result after encoding / decoding using the inverse of the image size as a delta value according to the present invention. A result is shown and FIG. 7c shows the result using the delta value calculated from the texture coordinate value by this invention.

  FIG. 8 shows a structure in which a flag delta_flag indicating whether or not the detla value information exists is inserted in the header of the 3DMC packet according to the present invention. Therefore, when the delta_flag is “1”, the Delta value, that is, the delta_u and delta_v values are included in the 3DMC packet. delta_u is a delta value for u-axis quantization, and delta_v is a value for the v-axis.

  The present invention described above can be provided as one or more computer readable media embodied on one or more products. The product can include a floppy disk, hard disk, CD ROM, flash memory card, PROM, RAM, ROM, or magnetic tape. Generally, a computer readable program can be embodied in any programming language.

  Although the present invention has been described above in connection with specific embodiments, the present invention is not limited to the above-described embodiments and the accompanying drawings, and is within the scope not departing from the technical idea of the present invention. It will be apparent to those skilled in the art to which the present invention pertains that various substitutions, modifications and changes are possible.

It is a figure which shows the encoding concept of typical 3DMC. 3 conceptually shows a texture mapping error after encoding and decoding by a conventional 3DMC method. 4 is a flowchart illustrating a 3DMC encoding process to which quantization of texture coordinates is applied according to a preferred embodiment of the present invention. 6 is a flowchart illustrating a process of calculating an adaptive quantization step size (delta value) for texture coordinate quantization according to an embodiment of the present invention. 3 is a flowchart illustrating a 3DMC decoding process according to an embodiment of the present invention. a to d show the results when the texture coordinates are quantized by the conventional 3DMC method and when the quantization is performed using the adaptive quantization step size proposed in the present invention. a is a rendering result after encoding / decoding by the conventional 3DMC method, and b is encoding / decoding using the inverse of the image size as a delta value according to an embodiment of the present invention. And c shows the result of using the delta value calculated from the texture coordinate value according to another embodiment of the present invention. The present invention shows a structure in which a flag delta_flag indicating whether or not adaptive quantization step size (detta) information exists is inserted in the header of a 3DMC packet.

Claims (17)

In a method of encoding texture coordinates in 3D mesh information,
Setting an adaptive quantization step size used to quantize the texture coordinates;
Quantizing the texture coordinates using the adaptive quantization step size;
Encoding the quantized texture coordinates; and a texture coordinate encoding method in three-dimensional mesh information.   The method according to claim 1, wherein the adaptive quantization step size is set as an inverse value of the texture image size.   The method of claim 1, wherein the adaptive quantization step size is set using the texture coordinates.   The adaptive quantization step size may be one of a mode value, a greatest common divisor, a median value, an average value, a minimum value, and a maximum value of difference values between aligned texture coordinates. The texture coordinate encoding method in the three-dimensional mesh information according to claim 3, which is set in (4). Setting the adaptive quantization step size comprises:
Determining whether size information of the texture image exists;
If size information of the texture image is present, setting an inverse value of the texture image size to a first quantization step size;
Setting a second quantization step size using the texture coordinates;
Determining whether the second quantization step size is a multiple of the first quantization step size;
If the determination result is that the second quantization step size is a multiple of the first quantization step size, setting the second quantization step size to an adaptive quantization step size;
And when the determination result is that the second quantization step size is not a multiple of the first quantization step size, setting the first quantization step size to an adaptive quantization step size. Item 4. A texture coordinate encoding method in the three-dimensional mesh information according to Item 1.   6. The method for encoding texture coordinates in three-dimensional mesh information according to claim 5, further comprising the step of setting an adaptive quantization step size using the texture coordinates when the texture image size information does not exist. Setting a bit per texture coordinate (bpt) of the texture coordinates;
Comparing the number of encoded bits (bpt) of the set texture coordinates with the number of bits of the adaptive quantization step size;
If the comparison result is that the number of encoded bits (bpt) is smaller than the number of bits of the adaptive quantization step size, quantizing the texture coordinates using 2-bpt;
If the comparison result is that the number of encoded bits (bpt) is greater than or equal to the number of bits of the adaptive quantization step size, the step of quantizing the texture coordinates using the adaptive quantization step size The texture coordinate encoding method in the three-dimensional mesh information according to claim 1.   The texture coordinate code in the three-dimensional mesh information according to claim 1, wherein the texture coordinate value is expressed by a real value, and further includes a step of filtering the real value texture coordinate using texture image size information. Method. The step of correcting the real-valued texture coordinates is performed for each real-valued texture coordinate.
Multiplying the texture coordinates by a texture image size value, and converting the value to an integer using any one of rounding up, rounding down, and rounding off;
The texture coordinate encoding method in the three-dimensional mesh information according to claim 8, further comprising: replacing the real-valued texture coordinates with a result value obtained by dividing the integer value by the texture image size value. The step of correcting the real-valued texture coordinates includes:
Multiplying the texture coordinates by a (texture image size-1) value, and converting the value to an integer using any one of rounding up, rounding down, and rounding off;
9. The texture coordinates in the three-dimensional mesh information according to claim 8, comprising: replacing the real-valued texture coordinates with a result value obtained by dividing the integerized value by the (texture image size-1) value. Encoding method. A first encoding step for encoding texture coordinates in the three-dimensional mesh information according to any one of claims 1 to 10;
A second encoding step for encoding residual information of the three-dimensional mesh information;
Generating a three-dimensional mesh coding (3DMC) packet including the three-dimensional mesh information and adaptive quantization step size information encoded as the execution result of the first and second encoding steps. A coding method for dimensional mesh information. Extracting adaptive quantization step size information from the 3DMC packet;
Dequantizing texture coordinates in the 3DMC packet using the extracted adaptive quantization step size;
Decoding the dequantized texture coordinates; and a texture coordinates decoding method of a 3DMC packet. Determining whether the adaptive quantization step size information is included in the 3DMC packet;
The 3DMC according to claim 12, wherein the texture coordinates are inversely quantized to a selected quantization step size when the determination result does not include the adaptive quantization step size information. Packet texture coordinate decoding method.   The step of determining whether or not the adaptive quantization step size information is included in the received 3DMC packet uses a flag value indicating whether or not the adaptive quantization step size information is present in a header of the 3DMC packet. The texture coordinate decoding method of 3DMC packet according to claim 13, wherein the texture coordinate decoding method is determined. A first decoding step for decoding texture coordinates in a 3DMC packet according to any of claims 12 to 14;
A second decoding step for decoding residual information in the 3DMC packet;
Restoring a 3D model based on 3D mesh information decoded as a result of executing the first and second decoding steps.   A computer-readable recording medium on which a computer program for performing the texture coordinate encoding method in the three-dimensional mesh information according to any one of claims 1 to 10 is recorded.   15. A computer-readable recording medium on which a computer program for performing the texture coordinate decoding method in the 3DMC packet according to claim 12 is recorded.

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